22 citations · 51 across the 11 of their papers we have counts for
12 papers
Thinking Less to Simulate Better: Intuitive Prompting Improves LLM Agents Simulating Individual Social Media Reactions, Including Unfamiliar Content
Ljubisa Bojic, Tijana Stanic, Joerg Matthes +3
Platform policies are increasingly tested on artificial users, making agent fidelity important. Yet convincing fake profiles could also manipulate perceived public opinion before e…
Knowing You Is Everything: LLM Agents Achieve Near-Perfect Profile-Consistent Reaction Prediction in Social Media Simulation
Ljubisa Bojic, Ljiljana Matic, Joerg Matthes +3
Autonomous AI agents in social media present concrete risks to democratic discourse and platform governance, while also offering tools for pre-deployment recommender system testing…
LLM Agents Predict Social Media Reactions but Do Not Outperform Text Classifiers: Benchmarking Simulation Accuracy Using 120K+ Personas of 1511 Humans
Ljubisa Bojic, Alexander Felfernig, Bojana Dinic +4
Social media platforms mediate how billions form opinions and engage with public discourse. As autonomous AI agents increasingly participate in these spaces, understanding their be…
Towards Recommender Systems LLMs Playground (RecSysLLMsP): Exploring Polarization and Engagement in Simulated Social Networks
Ljubisa Bojic, Zorica Dodevska, Yashar Deldjoo +1
Given the exponential advancement in AI technologies and the potential escalation of harmful effects from recommendation systems, it is crucial to simulate and evaluate these effec…
Evaluating Large Language Models Against Human Annotators in Latent Content Analysis: Sentiment, Political Leaning, Emotional Intensity, and Sarcasm
Ljubisa Bojic, Olga Zagovora, Asta Zelenkauskaite +4
In the era of rapid digital communication, vast amounts of textual data are generated daily, demanding efficient methods for latent content analysis to extract meaningful insights.…
Towards New Benchmark for AI Alignment & Sentiment Analysis in Socially Important Issues: A Comparative Study of Human and LLMs in the Context of AGI
Ljubisa Bojic, Dylan Seychell, Milan Cabarkapa
As general-purpose artificial intelligence systems become increasingly integrated into society and are used for information seeking, content generation, problem solving, textual an…
Maintaining Journalistic Integrity in the Digital Age: A Comprehensive NLP Framework for Evaluating Online News Content
Ljubisa Bojic, Nikola Prodanovic, Agariadne Dwinggo Samala
The rapid growth of online news platforms has led to an increased need for reliable methods to evaluate the quality and credibility of news articles. This paper proposes a comprehe…
The Dual Impact of Virtual Reality: Examining the Addictive Potential and Therapeutic Applications of Immersive Media in the Metaverse
Ljubisa Bojic, Joerg Matthes, Agariadne Dwinggo Samala +1
The emergence of the metaverse - envisioned as a hyperreal virtual universe enabling boundless human interaction - has the potential to revolutionize our conception of media. This…
Does GPT-4 surpass human performance in linguistic pragmatics?
Ljubisa Bojic, Predrag Kovacevic, Milan Cabarkapa
As Large Language Models (LLMs) become increasingly integrated into everyday life as general purpose multimodal AI systems, their capabilities to simulate human understanding are u…
CERN for AI: A Theoretical Framework for Autonomous Simulation-Based Artificial Intelligence Testing and Alignment
Ljubisa Bojic, Matteo Cinelli, Dubravko Culibrk +1
This paper explores the potential of a multidisciplinary approach to testing and aligning artificial intelligence (AI), specifically focusing on large language models (LLMs). Due t…
Cross-Platform Social Dynamics: An Analysis of ChatGPT and COVID-19 Vaccine Conversations
Shayan Alipour, Alessandro Galeazzi, Emanuele Sangiorgio +4
The role of social media in information dissemination and agenda-setting has significantly expanded in recent years. By offering real-time interactions, online platforms have becom…
Personality testing of Large Language Models: Limited temporal stability, but highlighted prosociality
Bojana Bodroza, Bojana M. Dinic, Ljubisa Bojic
As Large Language Models (LLMs) continue to gain popularity due to their human-like traits and the intimacy they offer to users, their societal impact inevitably expands. This lead…